/
nano_cff.py
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/
nano_cff.py
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from __future__ import print_function
import FWCore.ParameterSet.Config as cms
from PhysicsTools.NanoAOD.common_cff import *
from PhysicsTools.NanoAOD.jets_cff import *
from PhysicsTools.NanoAOD.muons_cff import *
from PhysicsTools.NanoAOD.taus_cff import *
from PhysicsTools.NanoAOD.electrons_cff import *
from PhysicsTools.NanoAOD.photons_cff import *
from PhysicsTools.NanoAOD.globals_cff import *
from PhysicsTools.NanoAOD.extraflags_cff import *
from PhysicsTools.NanoAOD.ttbarCategorization_cff import *
from PhysicsTools.NanoAOD.genparticles_cff import *
from PhysicsTools.NanoAOD.particlelevel_cff import *
from PhysicsTools.NanoAOD.vertices_cff import *
from PhysicsTools.NanoAOD.met_cff import *
from PhysicsTools.NanoAOD.triggerObjects_cff import *
from PhysicsTools.NanoAOD.isotracks_cff import *
from PhysicsTools.NanoAOD.NanoAODEDMEventContent_cff import *
from Configuration.Eras.Modifier_run2_miniAOD_80XLegacy_cff import run2_miniAOD_80XLegacy
from Configuration.Eras.Modifier_run2_nanoAOD_94X2016_cff import run2_nanoAOD_94X2016
from Configuration.Eras.Modifier_run2_nanoAOD_94XMiniAODv1_cff import run2_nanoAOD_94XMiniAODv1
from Configuration.Eras.Modifier_run2_nanoAOD_94XMiniAODv2_cff import run2_nanoAOD_94XMiniAODv2
from Configuration.Eras.Modifier_run2_nanoAOD_102Xv1_cff import run2_nanoAOD_102Xv1
from Configuration.Eras.Modifier_run2_nanoAOD_106Xv1_cff import run2_nanoAOD_106Xv1
from Configuration.Eras.Modifier_run2_miniAOD_devel_cff import run2_miniAOD_devel
from Configuration.Eras.Modifier_run2_tau_ul_2016_cff import run2_tau_ul_2016
from Configuration.Eras.Modifier_run2_tau_ul_2018_cff import run2_tau_ul_2018
nanoMetadata = cms.EDProducer("UniqueStringProducer",
strings = cms.PSet(
tag = cms.string("untagged"),
)
)
linkedObjects = cms.EDProducer("PATObjectCrossLinker",
jets=cms.InputTag("finalJets"),
muons=cms.InputTag("finalMuons"),
electrons=cms.InputTag("finalElectrons"),
taus=cms.InputTag("finalTaus"),
photons=cms.InputTag("finalPhotons"),
)
simpleCleanerTable = cms.EDProducer("NanoAODSimpleCrossCleaner",
name=cms.string("cleanmask"),
doc=cms.string("simple cleaning mask with priority to leptons"),
jets=cms.InputTag("linkedObjects","jets"),
muons=cms.InputTag("linkedObjects","muons"),
electrons=cms.InputTag("linkedObjects","electrons"),
taus=cms.InputTag("linkedObjects","taus"),
photons=cms.InputTag("linkedObjects","photons"),
jetSel=cms.string("pt>15"),
muonSel=cms.string("track.isNonnull && isLooseMuon && isPFMuon && innerTrack.validFraction >= 0.49 && ( isGlobalMuon && globalTrack.normalizedChi2 < 3 && combinedQuality.chi2LocalPosition < 12 && combinedQuality.trkKink < 20 && segmentCompatibility >= 0.303 || segmentCompatibility >= 0.451 )"),
electronSel=cms.string(""),
tauSel=cms.string(""),
photonSel=cms.string(""),
jetName=cms.string("Jet"),muonName=cms.string("Muon"),electronName=cms.string("Electron"),
tauName=cms.string("Tau"),photonName=cms.string("Photon")
)
btagSFdir="PhysicsTools/NanoAOD/data/btagSF/"
btagWeightTable = cms.EDProducer("BTagSFProducer",
src = cms.InputTag("linkedObjects","jets"),
cut = cms.string("pt > 25. && abs(eta) < 2.5"),
discNames = cms.vstring(
"pfCombinedInclusiveSecondaryVertexV2BJetTags",
"pfDeepCSVJetTags:probb+pfDeepCSVJetTags:probbb", #if multiple MiniAOD branches need to be summed up (e.g., DeepCSV b+bb), separate them using '+' delimiter
"pfCombinedMVAV2BJetTags"
),
discShortNames = cms.vstring(
"CSVV2",
"DeepCSVB",
"CMVA"
),
weightFiles = cms.vstring( #default settings are for 2017 94X. toModify function is called later for other eras.
btagSFdir+"CSVv2_94XSF_V2_B_F.csv",
btagSFdir+"DeepCSV_94XSF_V2_B_F.csv",
"unavailable" #if SFs for an algorithm in an era is unavailable, the corresponding branch will not be stored
),
operatingPoints = cms.vstring("3","3","3"), #loose = 0, medium = 1, tight = 2, reshaping = 3
measurementTypesB = cms.vstring("iterativefit","iterativefit","iterativefit"), #e.g. "comb", "incl", "ttbar", "iterativefit"
measurementTypesC = cms.vstring("iterativefit","iterativefit","iterativefit"),
measurementTypesUDSG = cms.vstring("iterativefit","iterativefit","iterativefit"),
sysTypes = cms.vstring("central","central","central")
)
for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016: # to be updated when SF for Summer16MiniAODv3 MC will be available
modifier.toModify(btagWeightTable,
cut = cms.string("pt > 25. && abs(eta) < 2.4"), #80X corresponds to 2016, |eta| < 2.4
weightFiles = cms.vstring( #80X corresponds to 2016 SFs
btagSFdir+"CSVv2_Moriond17_B_H.csv",
"unavailable",
btagSFdir+"cMVAv2_Moriond17_B_H.csv"
)
)
genWeightsTable = cms.EDProducer("GenWeightsTableProducer",
genEvent = cms.InputTag("generator"),
genLumiInfoHeader = cms.InputTag("generator"),
lheInfo = cms.VInputTag(cms.InputTag("externalLHEProducer"), cms.InputTag("source")),
preferredPDFs = cms.VPSet( # see https://lhapdf.hepforge.org/pdfsets.html
cms.PSet( name = cms.string("PDF4LHC15_nnlo_30_pdfas"), lhaid = cms.uint32(91400) ),
cms.PSet( name = cms.string("NNPDF31_nnlo_hessian_pdfas"), lhaid = cms.uint32(306000) ),
cms.PSet( name = cms.string("NNPDF30_nlo_as_0118"), lhaid = cms.uint32(260000) ), # for some 92X samples. Note that the nominal weight, 260000, is not included in the LHE ...
cms.PSet( name = cms.string("NNPDF30_lo_as_0130"), lhaid = cms.uint32(262000) ), # some MLM 80X samples have only this (e.g. /store/mc/RunIISummer16MiniAODv2/DYJetsToLL_M-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v2/120000/02A210D6-F5C3-E611-B570-008CFA197BD4.root )
cms.PSet( name = cms.string("NNPDF30_nlo_nf_4_pdfas"), lhaid = cms.uint32(292000) ), # some FXFX 80X samples have only this (e.g. WWTo1L1Nu2Q, WWTo4Q)
cms.PSet( name = cms.string("NNPDF30_nlo_nf_5_pdfas"), lhaid = cms.uint32(292200) ), # some FXFX 80X samples have only this (e.g. DYJetsToLL_Pt, WJetsToLNu_Pt, DYJetsToNuNu_Pt)
cms.PSet( name = cms.string("NNPDF31_lo_as_0130"), lhaid = cms.uint32(315200) ), # SUSY signal samples use this
),
namedWeightIDs = cms.vstring(),
namedWeightLabels = cms.vstring(),
lheWeightPrecision = cms.int32(14),
keepAllPSWeights = cms.bool(False),
maxPdfWeights = cms.uint32(150),
debug = cms.untracked.bool(False),
)
lheInfoTable = cms.EDProducer("LHETablesProducer",
lheInfo = cms.VInputTag(cms.InputTag("externalLHEProducer"), cms.InputTag("source")),
precision = cms.int32(14),
storeLHEParticles = cms.bool(True)
)
l1bits=cms.EDProducer("L1TriggerResultsConverter", src=cms.InputTag("gtStage2Digis"), legacyL1=cms.bool(False),
storeUnprefireableBit=cms.bool(True), src_ext=cms.InputTag("gtStage2Digis"))
(run2_miniAOD_80XLegacy | run2_nanoAOD_94X2016 | run2_nanoAOD_94XMiniAODv1 | run2_nanoAOD_94XMiniAODv2 | run2_nanoAOD_102Xv1).toModify(l1bits, storeUnprefireableBit=False)
nanoSequenceCommon = cms.Sequence(
nanoMetadata + jetSequence + muonSequence + tauSequence + electronSequence+photonSequence+vertexSequence+
isoTrackSequence + jetLepSequence + # must be after all the leptons
linkedObjects +
jetTables + muonTables + tauTables + electronTables + photonTables + globalTables +vertexTables+ metTables+simpleCleanerTable + isoTrackTables
)
nanoSequenceOnlyFullSim = cms.Sequence(triggerObjectTables + l1bits)
nanoSequence = cms.Sequence(nanoSequenceCommon + nanoSequenceOnlyFullSim)
nanoSequenceFS = cms.Sequence(genParticleSequence + particleLevelSequence + nanoSequenceCommon + jetMC + muonMC + electronMC + photonMC + tauMC + metMC + ttbarCatMCProducers + globalTablesMC + btagWeightTable + genWeightsTable + genParticleTables + particleLevelTables + lheInfoTable + ttbarCategoryTable )
nanoSequenceMC = nanoSequenceFS.copy()
nanoSequenceMC.insert(nanoSequenceFS.index(nanoSequenceCommon)+1,nanoSequenceOnlyFullSim)
# modify extraFlagsTable to store ecalBadCalibFilter decision which is re-run with updated bad crystal list for 2017 and 2018 samples
for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2, run2_nanoAOD_102Xv1:
modifier.toModify(extraFlagsTable, variables= cms.PSet())
modifier.toModify(extraFlagsTable, variables = dict(Flag_ecalBadCalibFilterV2 = ExtVar(cms.InputTag("ecalBadCalibFilterNanoTagger"), bool, doc = "Bad ECAL calib flag (updated xtal list)")))
# modifier which adds new tauIDs (currently only deepTauId2017v2p1 is being added)
import RecoTauTag.RecoTau.tools.runTauIdMVA as tauIdConfig
def nanoAOD_addTauIds(process):
updatedTauName = "slimmedTausUpdated"
tauIdEmbedder = tauIdConfig.TauIDEmbedder(process, cms, debug = False, updatedTauName = updatedTauName,
toKeep = [ "deepTau2017v2p1" ])
tauIdEmbedder.runTauID()
process.patTauMVAIDsSeq.insert(process.patTauMVAIDsSeq.index(getattr(process, updatedTauName)),
process.rerunMvaIsolationSequence)
return process
from PhysicsTools.PatAlgos.tools.jetTools import updateJetCollection
def nanoAOD_addDeepInfo(process,addDeepBTag,addDeepFlavour):
_btagDiscriminators=[]
if addDeepBTag:
print("Updating process to run DeepCSV btag")
_btagDiscriminators += ['pfDeepCSVJetTags:probb','pfDeepCSVJetTags:probbb','pfDeepCSVJetTags:probc']
if addDeepFlavour:
print("Updating process to run DeepFlavour btag")
_btagDiscriminators += ['pfDeepFlavourJetTags:probb','pfDeepFlavourJetTags:probbb','pfDeepFlavourJetTags:problepb','pfDeepFlavourJetTags:probc']
if len(_btagDiscriminators)==0: return process
print("Will recalculate the following discriminators: "+", ".join(_btagDiscriminators))
updateJetCollection(
process,
jetSource = cms.InputTag('slimmedJets'),
jetCorrections = ('AK4PFchs', cms.vstring(['L1FastJet', 'L2Relative', 'L3Absolute','L2L3Residual']), 'None'),
btagDiscriminators = _btagDiscriminators,
postfix = 'WithDeepInfo',
)
process.load("Configuration.StandardSequences.MagneticField_cff")
process.jetCorrFactorsNano.src="selectedUpdatedPatJetsWithDeepInfo"
process.updatedJets.jetSource="selectedUpdatedPatJetsWithDeepInfo"
return process
def nanoAOD_addDeepMET(process, addDeepMETProducer, ResponseTune_Graph):
if addDeepMETProducer:
# produce DeepMET on the fly if it is not in MiniAOD
print("add DeepMET Producers")
process.load('RecoMET.METPUSubtraction.deepMETProducer_cfi')
process.deepMETsResolutionTune = process.deepMETProducer.clone()
process.deepMETsResponseTune = process.deepMETProducer.clone()
#process.deepMETsResponseTune.graph_path = 'RecoMET/METPUSubtraction/data/deepmet/deepmet_resp_v1_2018.pb'
process.deepMETsResponseTune.graph_path = ResponseTune_Graph.value()
process.metTables += process.deepMetTables
return process
from PhysicsTools.PatUtils.tools.runMETCorrectionsAndUncertainties import runMetCorAndUncFromMiniAOD
from PhysicsTools.PatAlgos.slimming.puppiForMET_cff import makePuppiesFromMiniAOD
def nanoAOD_recalibrateMETs(process,isData):
# add DeepMETs
nanoAOD_DeepMET_switch = cms.PSet(
nanoAOD_addDeepMET_switch = cms.untracked.bool(True), # decide if DeeMET should be included in Nano
nanoAOD_produceDeepMET_switch = cms.untracked.bool(False), # decide if DeepMET should be computed on the fly
ResponseTune_Graph = cms.untracked.string('RecoMET/METPUSubtraction/data/deepmet/deepmet_resp_v1_2018.pb')
)
# compute DeepMETs for the eras before UL-ReminiAOD
(~run2_miniAOD_devel).toModify(nanoAOD_DeepMET_switch, nanoAOD_produceDeepMET_switch = cms.untracked.bool(True))
for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
modifier.toModify(nanoAOD_DeepMET_switch, ResponseTune_Graph=cms.untracked.string("RecoMET/METPUSubtraction/data/deepmet/deepmet_resp_v1_2016.pb"))
if nanoAOD_DeepMET_switch.nanoAOD_addDeepMET_switch:
process = nanoAOD_addDeepMET(process,
addDeepMETProducer=nanoAOD_DeepMET_switch.nanoAOD_produceDeepMET_switch,
ResponseTune_Graph=nanoAOD_DeepMET_switch.ResponseTune_Graph)
# if included in Nano, and not computed in the fly, then it should be extracted from minAOD
extractDeepMETs = nanoAOD_DeepMET_switch.nanoAOD_addDeepMET_switch and not nanoAOD_DeepMET_switch.nanoAOD_produceDeepMET_switch
runMetCorAndUncFromMiniAOD(process,isData=isData, extractDeepMETs=extractDeepMETs)
process.nanoSequenceCommon.insert(process.nanoSequenceCommon.index(process.jetSequence),cms.Sequence(process.fullPatMetSequence))
process.basicJetsForMetForT1METNano = process.basicJetsForMet.clone(
src = process.updatedJetsWithUserData.src,
skipEM = False,
type1JetPtThreshold = 0.0,
calcMuonSubtrRawPtAsValueMap = cms.bool(True),
)
process.jetSequence.insert(process.jetSequence.index(process.updatedJetsWithUserData),cms.Sequence(process.basicJetsForMetForT1METNano))
process.updatedJetsWithUserData.userFloats.muonSubtrRawPt = cms.InputTag("basicJetsForMetForT1METNano:MuonSubtrRawPt")
process.corrT1METJetTable.src = process.finalJets.src
process.corrT1METJetTable.cut = "pt<15 && abs(eta)<9.9"
for table in process.jetTable, process.corrT1METJetTable:
table.variables.muonSubtrFactor = Var("1-userFloat('muonSubtrRawPt')/(pt()*jecFactor('Uncorrected'))",float,doc="1-(muon-subtracted raw pt)/(raw pt)",precision=6)
process.metTables += process.corrT1METJetTable
# makePuppiesFromMiniAOD(process,True) # call this before in the global customizer otherwise it would reset photon IDs in VID
runMetCorAndUncFromMiniAOD(process,isData=isData,metType="Puppi",postfix="Puppi",jetFlavor="AK4PFPuppi")
process.nanoSequenceCommon.insert(process.nanoSequenceCommon.index(process.jetSequence),cms.Sequence(process.puppiMETSequence+process.fullPatMetSequencePuppi))
return process
from PhysicsTools.SelectorUtils.tools.vid_id_tools import *
def nanoAOD_activateVID(process):
switchOnVIDElectronIdProducer(process,DataFormat.MiniAOD)
for modname in electron_id_modules_WorkingPoints_nanoAOD.modules:
setupAllVIDIdsInModule(process,modname,setupVIDElectronSelection)
process.electronSequence.insert(process.electronSequence.index(process.bitmapVIDForEle),process.egmGsfElectronIDSequence)
for modifier in run2_miniAOD_80XLegacy,run2_nanoAOD_94XMiniAODv1,run2_nanoAOD_94XMiniAODv2,run2_nanoAOD_94X2016,run2_nanoAOD_102Xv1,run2_nanoAOD_106Xv1:
modifier.toModify(process.electronMVAValueMapProducer, srcMiniAOD = "slimmedElectronsUpdated")
modifier.toModify(process.egmGsfElectronIDs, physicsObjectSrc = "slimmedElectronsUpdated")
switchOnVIDPhotonIdProducer(process,DataFormat.MiniAOD) # do not call this to avoid resetting photon IDs in VID, if called before inside makePuppiesFromMiniAOD
for modname in photon_id_modules_WorkingPoints_nanoAOD.modules:
setupAllVIDIdsInModule(process,modname,setupVIDPhotonSelection)
process.photonSequence.insert(process.photonSequence.index(bitmapVIDForPho),process.egmPhotonIDSequence)
for modifier in run2_miniAOD_80XLegacy,run2_nanoAOD_94XMiniAODv1,run2_nanoAOD_94XMiniAODv2,run2_nanoAOD_94X2016 ,run2_nanoAOD_102Xv1:
modifier.toModify(process.photonMVAValueMapProducer, srcMiniAOD = "slimmedPhotonsTo106X")
modifier.toModify(process.egmPhotonIDs, physicsObjectSrc = "slimmedPhotonsTo106X")
return process
def nanoAOD_addDeepInfoAK8(process, addDeepBTag, addDeepBoostedJet, addDeepDoubleX, addDeepDoubleXV2, addParticleNet, jecPayload):
_btagDiscriminators=[]
if addDeepBTag:
print("Updating process to run DeepCSV btag to AK8 jets")
_btagDiscriminators += ['pfDeepCSVJetTags:probb','pfDeepCSVJetTags:probbb']
if addDeepBoostedJet:
print("Updating process to run DeepBoostedJet on datasets before 103X")
from RecoBTag.ONNXRuntime.pfDeepBoostedJet_cff import _pfDeepBoostedJetTagsAll as pfDeepBoostedJetTagsAll
_btagDiscriminators += pfDeepBoostedJetTagsAll
if addParticleNet:
print("Updating process to run ParticleNet before it's included in MiniAOD")
from RecoBTag.ONNXRuntime.pfParticleNet_cff import _pfParticleNetJetTagsAll as pfParticleNetJetTagsAll
_btagDiscriminators += pfParticleNetJetTagsAll
if addDeepDoubleX:
print("Updating process to run DeepDoubleX on datasets before 104X")
_btagDiscriminators += ['pfDeepDoubleBvLJetTags:probHbb', \
'pfDeepDoubleCvLJetTags:probHcc', \
'pfDeepDoubleCvBJetTags:probHcc', \
'pfMassIndependentDeepDoubleBvLJetTags:probHbb', 'pfMassIndependentDeepDoubleCvLJetTags:probHcc', 'pfMassIndependentDeepDoubleCvBJetTags:probHcc']
if addDeepDoubleXV2:
print("Updating process to run DeepDoubleXv2 on datasets before 11X")
_btagDiscriminators += [
'pfMassIndependentDeepDoubleBvLV2JetTags:probHbb',
'pfMassIndependentDeepDoubleCvLV2JetTags:probHcc',
'pfMassIndependentDeepDoubleCvBV2JetTags:probHcc'
]
if len(_btagDiscriminators)==0: return process
print("Will recalculate the following discriminators on AK8 jets: "+", ".join(_btagDiscriminators))
updateJetCollection(
process,
jetSource = cms.InputTag('slimmedJetsAK8'),
pvSource = cms.InputTag('offlineSlimmedPrimaryVertices'),
svSource = cms.InputTag('slimmedSecondaryVertices'),
rParam = 0.8,
jetCorrections = (jecPayload.value(), cms.vstring(['L1FastJet', 'L2Relative', 'L3Absolute', 'L2L3Residual']), 'None'),
btagDiscriminators = _btagDiscriminators,
postfix='AK8WithDeepInfo',
printWarning = False
)
process.jetCorrFactorsAK8.src="selectedUpdatedPatJetsAK8WithDeepInfo"
process.updatedJetsAK8.jetSource="selectedUpdatedPatJetsAK8WithDeepInfo"
return process
from PhysicsTools.PatUtils.tools.runMETCorrectionsAndUncertainties import runMetCorAndUncFromMiniAOD
def nanoAOD_runMETfixEE2017(process,isData):
runMetCorAndUncFromMiniAOD(process,isData=isData,
fixEE2017 = True,
fixEE2017Params = {'userawPt': True, 'ptThreshold':50.0, 'minEtaThreshold':2.65, 'maxEtaThreshold': 3.139},
postfix = "FixEE2017")
process.nanoSequenceCommon.insert(process.nanoSequenceCommon.index(jetSequence),process.fullPatMetSequenceFixEE2017)
def nanoAOD_customizeCommon(process):
makePuppiesFromMiniAOD(process,True)
process.puppiNoLep.useExistingWeights = True
process.puppi.useExistingWeights = True
run2_nanoAOD_106Xv1.toModify(process.puppiNoLep, useExistingWeights = False)
run2_nanoAOD_106Xv1.toModify(process.puppi, useExistingWeights = False)
process = nanoAOD_activateVID(process)
nanoAOD_addDeepInfo_switch = cms.PSet(
nanoAOD_addDeepBTag_switch = cms.untracked.bool(False),
nanoAOD_addDeepFlavourTag_switch = cms.untracked.bool(False),
)
run2_miniAOD_80XLegacy.toModify(nanoAOD_addDeepInfo_switch, nanoAOD_addDeepBTag_switch = cms.untracked.bool(True))
for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016, run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
modifier.toModify(nanoAOD_addDeepInfo_switch, nanoAOD_addDeepFlavourTag_switch = cms.untracked.bool(True))
process = nanoAOD_addDeepInfo(process,
addDeepBTag=nanoAOD_addDeepInfo_switch.nanoAOD_addDeepBTag_switch,
addDeepFlavour=nanoAOD_addDeepInfo_switch.nanoAOD_addDeepFlavourTag_switch)
nanoAOD_addDeepInfoAK8_switch = cms.PSet(
nanoAOD_addDeepBTag_switch = cms.untracked.bool(False),
nanoAOD_addDeepBoostedJet_switch = cms.untracked.bool(True),
nanoAOD_addDeepDoubleX_switch = cms.untracked.bool(True),
nanoAOD_addDeepDoubleXV2_switch = cms.untracked.bool(True),
nanoAOD_addParticleNet_switch = cms.untracked.bool(True),
jecPayload = cms.untracked.string('AK8PFPuppi')
)
# deepAK8 should not run on 80X, that contains ak8PFJetsCHS jets
run2_miniAOD_80XLegacy.toModify(nanoAOD_addDeepInfoAK8_switch,
nanoAOD_addDeepBTag_switch = True,
nanoAOD_addDeepBoostedJet_switch = False,
nanoAOD_addDeepDoubleX_switch = False,
nanoAOD_addParticleNet_switch = False,
jecPayload = 'AK8PFchs')
# for Re-MiniAOD: no need to re-run DeepAK8, DeepDoubleX and ParticleNet
run2_miniAOD_devel.toModify(
nanoAOD_addDeepInfoAK8_switch,
nanoAOD_addDeepBoostedJet_switch = False,
nanoAOD_addDeepDoubleX_switch = False,
nanoAOD_addDeepDoubleXV2_switch = False,
nanoAOD_addParticleNet_switch = False,
)
)
process = nanoAOD_addDeepInfoAK8(process,
addDeepBTag=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addDeepBTag_switch,
addDeepBoostedJet=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addDeepBoostedJet_switch,
addDeepDoubleX=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addDeepDoubleX_switch,
addDeepDoubleXV2=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addDeepDoubleXV2_switch,
addParticleNet=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addParticleNet_switch,
jecPayload=nanoAOD_addDeepInfoAK8_switch.jecPayload)
addTauIds_switch = cms.PSet(
nanoAOD_addTauIds_switch = cms.untracked.bool(True)
)
run2_miniAOD_80XLegacy.toModify(addTauIds_switch, nanoAOD_addTauIds_switch = cms.untracked.bool(False))
((run2_miniAOD_devel | run2_tau_ul_2016 | run2_tau_ul_2018) & \
(~(run2_nanoAOD_94X2016 | run2_nanoAOD_94XMiniAODv1 | run2_nanoAOD_94XMiniAODv2 | run2_nanoAOD_102Xv1 | run2_nanoAOD_106Xv1))).toModify(addTauIds_switch,
nanoAOD_addTauIds_switch = cms.untracked.bool(False))
if addTauIds_switch.nanoAOD_addTauIds_switch:
process = nanoAOD_addTauIds(process)
return process
def nanoAOD_customizeData(process):
process = nanoAOD_customizeCommon(process)
process = nanoAOD_recalibrateMETs(process,isData=True)
for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
modifier.toModify(process, lambda p: nanoAOD_runMETfixEE2017(p,isData=True))
return process
def nanoAOD_customizeMC(process):
process = nanoAOD_customizeCommon(process)
process = nanoAOD_recalibrateMETs(process,isData=False)
for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
modifier.toModify(process, lambda p: nanoAOD_runMETfixEE2017(p,isData=False))
return process
### Era dependent customization
_80x_sequence = nanoSequenceCommon.copy()
#remove stuff
_80x_sequence.remove(isoTrackTables)
_80x_sequence.remove(isoTrackSequence)
#add stuff
_80x_sequence.insert(_80x_sequence.index(jetSequence), extraFlagsProducers)
_80x_sequence.insert(_80x_sequence.index(simpleCleanerTable)+1, extraFlagsTable)
run2_miniAOD_80XLegacy.toReplaceWith( nanoSequenceCommon, _80x_sequence)
_102x_sequence = nanoSequenceCommon.copy()
#add stuff
_102x_sequence.insert(_102x_sequence.index(jetSequence),extraFlagsProducers102x)
_102x_sequence.insert(_102x_sequence.index(simpleCleanerTable)+1,extraFlagsTable)
for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2, run2_nanoAOD_102Xv1:
modifier.toReplaceWith(nanoSequenceCommon, _102x_sequence)